MXPA06006311A - Remote monitoring system. - Google Patents

Abstract

A remote monitoring system is disclosed. In one such embodiment, a system may comprise a first measuring unit disposed within a structure, a first processor disposed in operative communication with the first measuring unit, and a second processor disposed within the structure. The first measuring unit may comprise a first sensor adapted to detect a first parameter. The first measuring unit may be adapted to output a first signal associated with the first parameter. The first processor may be adapted to receive the first signal and to control the first measuring unit. The second processor may be disposed in operative communication with the first measuring unit and the first processor.

Description

SE, SI, SK.TR), OR? Pl (BF, BJ, CF, CG, Cl, CM, G ?, GN, For lwo-lclier c des and i er abbrevialions. Referi "Guid- GQ, GW , ML, MR, NE, SN, TD, TG) .anne Nales on Codes and Abbrevialions "appearing to the llie begiti- ning of a regular issue ofthe PCT Gazelle. Published: - wilh inieniational search repon REMOTE VERIFICATION SYSTEM RELATED APPLICATION AND PRIORITY CLAIM This application claims priority to the Provisional Patent Application of E.U.A. No. 60 / 526,462, entitled "Remote Verification System", filed on December 3, 2003, the priority benefit of which is claimed by this application, and is incorporated herein in its entirety by reference.

NOTICE OF COPYRIGHT PROTECTION A portion of the description of the patent document and its figures contain material subject to copyright protection. The copyright owner has no objection to reproduction by facsimile by any of the patent document, but otherwise reserves all copyright.

FIELD OF THE INVENTION The present invention generally relates to verification systems, and more particularly, to operable verification systems for transmitting data related to a building or structure at a remote location.

BACKGROUND Excessive humidity and extremes of temperature can place tension on the integrity of construction structures. Such extremes of temperature and humidity can cause the building materials to shrink or expand thereby deforming the structure. The tension in building materials is particularly determining in those structures, such as windows and doors, that provide an interface between the interior and exterior of a building. Also, windows and doors typically include a variety of different materials and / or parts that need to be able to move in relation to one another while maintaining the complete integrity of the unit. Under conditions of humidity and extreme temperature, both windows and doors can develop leaks where air or moisture can enter a building. Excessive humidity and temperature extremes can result in loss of integrity to the point that the window or door needs repair or replacement. A variety of verification systems have been developed to detect specific parameters of interest. For example, verification systems are described for verifying environmental conditions such as rain fall, smoke, or carbon monoxide (e.g., U.S. Patent Nos. 5,892,690, 5,914,656, 6,570,508, and 6,452,499.) Even, these systems are designed as conveyors. of a sense of information and in that way, do not allow a remote user from the data collection point to modify the system, or interact remotely with the system in a protective way .The verification systems can be used in buildings for verify humidity and temperature (eg, U.S. Patent Nos. 5,844,138 and 6,377,181.) Known verification systems may include a relative humidity sensor, a temperature sensor, and a microprocessor and memory (e.g., data loading unit). HOBO® manufactured and sold by Onset Computer Corporation, Bourne, MA.) In general, such systems must be accessed locally for recovery Also, such systems do not allow remote control of the system (ie, such as allowing the user to change the measurement parameters). Thus, such systems require a specially trained individual visit of each verification station to obtain the data required for analysis. Thus, while such systems provide the historical data necessary to perform a forensic analysis, such systems may be ineffective in detecting and providing notification of the risk of a future water intrusion event. In that way, what is needed is a system for the non-destructive verification of a building that allows changes in humidity and / or temperature associated with a loss of structural integrity to be valued. Also, what is needed is a system that is capable of collecting and simultaneously analyzing data from a plurality of sensors so that the conditions in a building can be compared with conditions in similarly located buildings. In this way, it is possible to detect and detect forecast changes of a loss of building integrity in a cost effective manner.

COMPENDIUM OF THE INVENTION The present invention can provide remote verification systems and methods. An illustrative system can verify changes in certain physical parameters at a particular site, for example, in a building. For example, the present invention can provide systems and methods that can verify and analyze the integrity of a window, a door, or a plurality of windows and / or doors, in one or more buildings. Additionally, the present invention can control the sampling of data from a plurality of remote sites, and analyze the data so that over time they can verify the changes. The verification can be used to determine if the windows and / or doors in a particular building are structurally intact. Such verification can be performed by measuring the temperature and humidity within a wall cavity and then making comparisons between the outside and inside readings of predetermined physical parameters, such as humidity and temperature. Water and / or air intrusion events can be detected and resolved before damaging the structure. In one embodiment, the present invention can provide a remote verification system for measuring and detecting changes in temperature, absolute humidity, and relative humidity in the vicinity of a window unit. In another modality, the system may be able to warn an individual that a situation of high risk exists, so that preventive measures are taken to prevent another deterioration of the building and / or window unit. One embodiment of the present invention may comprise a first measuring unit disposed within a structure, a first processor arranged in operative communication with the first measuring unit, and a second processor disposed within the structure. The terms "communicate" or "communication" mean mechanical, electrical, optically or otherwise contact, attach, or connect by means whether direct, indirect or operational. The first measuring unit may comprise a first sensor adapted to detect a first parameter. The first measuring unit can be adapted to produce a first signal associated with the first parameter. The first processor can be adapted to receive the first signal and to control the first measuring unit. The second processor can be arranged in operational communication with the first measuring unit and the first processor. Another embodiment of the present invention may comprise a plurality of first measuring units arranged within a building, a wireless network arranged in communication with the plurality of the first measuring units, and a remote processor arranged in communication with the wireless network. Each of the plurality of first measuring units may comprise a first sensor adapted to detect a first parameter. Each of the first measuring units may be adapted to produce a signal associated with the first parameter. The remote processor may be adapted to receive the first signal from the wireless network and to control the plurality of first measuring units. Even another embodiment of the present invention may comprise detecting a first parameter by a first sensor, generating a first signal associated with the first parameter by a first measuring unit, and communicating the first signal to a remote operable processor for controlling the first measuring unit. The first sensor can be arranged in operative communication with the first measuring unit. The remote processor may be arranged in operative communication with the first measuring unit. Even another embodiment of the present invention can comprise associating a first value of a first parameter measured by a first sensor in a first time with a first geometric shape comprising a first size, associating a second value of the first parameter measured by the first sensor in a second time with a second geometric shape comprising a second form, and present the first and second geometric shapes superimposed on a graphic representation of a structure. A position of the first and second geometric shapes presented may correspond to a position of the first sensor disposed in the structure. In one embodiment, the present invention can provide a system adapted to verify and analyze the integrity of a window, or a plurality of windows, in one or more buildings. Even in another embodiment, the present invention can control the sampling of data from a plurality of remote sites, and analyze the data so that changes can be verified over time. Such an illustrative system may be able to detect when the integrity of the structure falls below a certain predetermined limit, so that preventive maintenance can be performed. For example, in one embodiment, the present invention may comprise a remote verification system comprising: a plurality of measuring units comprising at least one type of sensor capable of measuring a physical parameter of interest that are placed in a plurality of sites; a wireless network in communication with the plurality of measuring units; a central processing unit in remote communication with the wireless network; and a computer program that allows a user to control the communication of the plurality of measuring units with the wireless network and the processing unit.In one embodiment, a computer processor can collect and analyze data collected by the network. Also in one embodiment, the measuring units comprise sensors capable of measuring temperature. Alternatively, and / or additionally, the measuring units may comprise sensors capable of measuring humidity and / or relative humidity, among other physical parameters. As is known in the art, relative humidity is the ratio of the amount of water vapor actually present in the air to as much as possible at the same temperature. The sensors can be used to measure any physical parameter of interest. Where the sensors measure the temperature and / or relative humidity, at least some of the sensors may be positioned in proximity to a plurality of window structures to detect a potential loss of integrity in window structure. In another embodiment, the present invention may comprise a remote verification system comprising: a plurality of measuring units comprising at least one type of sensor capable of measuring temperature and humidity which are positioned in proximity to a plurality of sites; a wireless network in communication with the plurality of measuring units; a central processing unit in communication with the wireless network; and a computer program that allows a user to control the communication of the plurality of measuring units with the wireless network and the central processing unit, and where the computer program collects and analyzes data collected by the network. In one embodiment, the sensor can be adapted to measure relative humidity. Also in one embodiment, the system may comprise a wide interface connecting the plurality of measuring units to the network. Even in another embodiment, the present invention may comprise at least one method implemented to verify a plurality of measuring units comprising at least one type of sensor, wherein the sensors are placed in proximity to a plurality of predetermined sites, and further comprising a wireless network in communication with the plurality of measuring units; a central processing unit in communication with the wireless network, and a computer program, which allows a user, through a graphical user interface, to control communication of the plurality of measuring units with the wireless network and the processing unit central, and where the computer program collects and analyzes data collected by the network. Also in one embodiment, the measuring units may comprise sensors capable of measuring temperature. Alternatively, and / or additionally, the measuring units comprise sensors capable of measuring humidity and / or relative humidity. The present invention also comprises a computer readable medium in which the programming code is coded to verify a plurality of measuring units comprising at least one type of sensor which is positioned in proximity to a plurality of predetermined sites and which further comprises a wireless network in communication with the plurality of measuring units; a central processing unit in communication with the wireless network; and a computer program, which allows a user to control communication of the plurality of measuring units with the wireless network and the central processing unit, and where the computer program collects and analyzes data collected by the network. Also in one embodiment, the measuring units may comprise sensors capable of measuring temperature. Alternatively, and / or additionally, the measuring units comprise sensors capable of measuring humidity and / or relative humidity. The embodiments of the present invention offer a wide variety of advantages and features. For example, an advantage and feature of the present invention is to provide a system that avoids costly and destructive testing methods frequently used in the field to assess the loss of integrity in construction structures. Because the system is remote, the need of an individual to go to the site where the sensors are placed is minimized. Also, the present invention can provide a wireless mesh network of sensors, such as for example temperature and relative humidity sensors, which allow to track and analyze window units exposed to various environmental conditions. In this way you can maximize the use and acquisition of data. Even another advantage and feature of the present invention can be provided to a database for collecting and analyzing data from several locations. By comparing data collected from a large number of units in a wide variety of locations, several important parameters for the loss of structural integrity of windows and other construction units or systems can be assessed, modeled, and predicted. Also another advantage and feature of the present invention may be to provide means to assess the relative risk that a building, or structural unit within a building, may develop an escape or other type of loss in efficiency. Thus, the present invention can provide a signal notifying an individual verifying the system that there is an increased risk that a construction unit (or structural part thereof) is at risk of developing an escape or other type of deformity. structural. In this way, proactive measures must be taken to address the situation before the damage occurs. Also, such information is useful in forensic analysis of failed systems (which include catastrophic analysis) and the design of windows and / or doors. The present invention can be better understood by reference to the description and figures that follow. It should be understood that the invention is not limited in its application to the specific details as mentioned in the following description and figures. The invention is capable of other modalities and of being practiced or carried out in various ways.

BRIEF DESCRIPTION OF THE FIGURES These and other features, aspects, and advantages of the present invention are better understood when the following Detailed Description is read with reference to the accompanying drawings, wherein: Figure 1 shows a schematic drawing of a system according to an embodiment of the invention; present invention. Figure 2 shows a schematic flow of information in the system of Figure 1. Figure 3 shows a table of data collected from a system according to an embodiment of the present invention. Figures 4A and 4B show data line frames compiled from a system according to another embodiment of the present invention. Figure 5 shows a graphical representation of data collected from a system according to even another embodiment of the present invention. Figure 6 shows a circle of data of the graphical representation of Figure 5. Figure 7 shows a method according to an embodiment of the present invention.

Figure 8 shows a method according to another embodiment of the present invention. Figure 9 shows a user interface according to one embodiment of the present invention. Figure 10 shows a loading menu according to an embodiment of the present invention. Figure 11 shows a configuration dialog menu according to one embodiment of the present invention. Figure 12 shows an alarm user interface according to an embodiment of the present invention. Figure 13 shows an event user interface according to one embodiment of the present invention.

DETAILED DESCRIPTION The embodiments of the present invention provide remote verification systems and methods. A variety of systems and methods can be implemented in accordance with the present invention, and they can operate in a variety of environments. By way of introduction and example, the subject matter of the present invention in one embodiment may refer to verification changes in predetermined physical parameters in a particular structure, site, or location, such as, for example, in a building. In an illustrative embodiment, the sensors can be placed near an area of interest such as near a window. For example, the system can be used by a building owner to gather data so that situations of potential risk, such as water intrusion or mold growth, can be resolved before adverse effects manifest themselves. The system can also be used by a window manufacturer to gather important data to assess particular designs and / or technologies. For example, by comparing the amount of water and / or air exhaust for different window units placed at different sites, the designs can be optimized for particular environmental / climatic profiles. As discussed above, the sensors can be placed in close proximity to, or in, a particular site of interest. However, it is not necessary for the sensors to be in plan view. For example, the sensors can be placed in a cavity under a window (or door). In many cases the cavity under the window is found to be directly impacted by intrusion of water and / or external air. Thus, in one embodiment, an operable sensor for detecting temperature and / or humidity can be placed in a wall cavity, such as between crosspieces supporting the wall. In such a mode, a hole can be made in the wall, and the sensor can be placed inside the wall with a cover plate or some other type of cover used to cover the sensor. A hollow tube (such as PVC tube) can be coupled with the cover plate to provide defense or protection to sensitive electrical components of the sensor from various extreme environmental conditions, such as direct contact with water. Additionally, the sensor can be encapsulated with a rubberized material to provide such defense or protection for the sensor. It is not required that the sensor be placed in the cavity under the window. The sensor can also be placed in proximity to a window, but not inside the wall space. For example, the sensor may be positioned along the upper, lower, or lateral edge of the window sill, in such a way as to be discreet, but in close proximity to the window. In addition to checking the environment directly under the window, the measurement of the environments can provide data that may be important for the interpretation of the integrity of windows or other building structures. In this way, in addition to checking the cavity under the window, the sensors can be placed through the interior of the building. Also, sensors can be placed on the outside of the building. For example, sensors can be placed at different elevations (North, South, East, and West) outside the building. In this way, a direct comparison of the conditions outside the building, near the window, and inside the building, both near and far from the window, can be compared. This type of comparison can indicate where an increase in humidity or change in specific temperature is located to a particular window unit. For example, one would expect such measurements to take into account an expected increase in humidity (for example the use of a shower) of an unexpected increase in humidity (eg, a window leak). The above description is only an illustrative embodiment of the present invention. Referring now to Figure 1, a schematic drawing of a system 10 according to one embodiment of the present invention. System 10 is shown installed in a structure, such as a building 11. Building 11 may comprise several levels or stories. An illustrative level of building 11 is shown in a plan view. The building 11 may comprise an exterior wall 12 comprising a first wall 12a and a second wall 12b. The first wall 12a may form an exterior surface of the building 11, which may be exposed to the elements, such as rain, wind, sun, snow, and ice. The second wall 12b can generally be arranged parallel to the first wall 12a. The second wall 12b can form and define an interior 13 of the building 11. A cavity 14 can be formed and defined by the first wall 12a and the second wall 12b. The portions of the cavity 14 can be hollow. A working frame (not shown) of wood or metal crosspieces, conductor, and / or pipe may be provided in the cavity 14. One or more windows 15a-e and / or doors (not shown) may be disposed in the cavity 14 One or more interior walls 16 can be arranged inside the building 13. The system 10 may comprise a first metering unit 20a disposed within the building 11. In one embodiment, the first metering unit 20a may comprise a plurality of the first metering units, for example, 20a-f. Each of the plurality of measuring units 20a-f may be disposed within a boundary formed by the first wall 12a. One or more of the plurality of first measuring units 20a-f may be arranged in the cavity 14. In one embodiment, at least some of the plurality of first measuring units 20a-f may be placed in proximity to a plurality of windows 15a- e to detect a potential loss of structural integrity. For example, the first measuring units 20a-f can be placed within the wall cavity 14 that is below the windows 15a-e of interest. Alternatively, and / or additionally, at least one of the plurality of first measuring units 20a-f may be placed in proximity to a plurality of door structures (not shown) to detect a potential loss of door integrity. In some cases where the defective or structurally compromised window allows moisture or air to pass, water and / or air can escape through such a window in the cavity 14 under the window. Thus, in one embodiment, at least a portion of the plurality of first measuring units 20a-f can be placed in the cavity 14 under the windows 15a-e. One or more of the plurality of first metering units 20a-f may be disposed near the windows 15a-e. For example, the first measuring units 20a-f can be arranged in communication with the windows 15a-e. In another embodiment, the first measuring units 20a-f can be coupled with the windows 15a-e. One or more of the plurality of first measuring units 20a-f may be disposed inside the interior 13 of the building 11. For example, the first measuring unit 20 is disposed near one of the plurality of interior walls 16 inside the building 13 11. One or more of the plurality of first measuring units 20a ~ f may be placed in areas of building 11 that are not easily accessible by individuals. As described above, the plurality of first measuring units 20a-f can be placed in the cavity 14 between the first wall 12a and the second wall 12b, or in very high or low positions to be off-site for most observers . It may be desirable to compare the temperature and humidity (or other parameters of interest) in proximity to the structure of interest (e.g., one or more of the windows 15a-e) for the temperature and humidity in other regions of the building 11 (e.g. , inside 13 of building 11, away from the plurality of windows 15a-e), or for the external environment. In one embodiment, the system 10 may comprise a second metering unit 21a disposed near an exterior of the building 11. In one embodiment, a plurality of second metering units 12a-d may be coupled to the first wall 12a of the outer wall 12. The plurality of second metering units 12a-d may be arranged outside the building 11 to provide comparative readings with the plurality of first metering units 20a-f. In one embodiment, each of the plurality of second measuring units 21a-d may be disposed at different levels (not shown) of the first wall 12a. One or more of the plurality of second measuring units 21a-d may be disposed at a predetermined distance from the building 11. The plurality of second measuring units 21a-d may be arranged in other suitable positions or positions. Each of the plurality of first measuring units 20a-f may comprise a first sensor (not shown) adapted to detect a first parameter. The first measuring units 20a-f can be adapted to produce a first signal associated with the first parameter. In one embodiment, the second measuring units 21a-d may comprise a second sensor (not shown) adapted to detect a second parameter. The second parameter can be the same as the first parameter. The second measuring units 21a-d may be adapted to produce a second signal associated with the second parameter. In another embodiment, one or more of the first measuring units 20a-f may comprise a third sensor adapted to detect a third parameter. The third parameter may be different from the first parameter. The first measuring units 20a-f can be adapted to produce a third signal associated with the third parameter. A sensor may be a device used to provide a signal for the detection or measurement of a physical and / or chemical property to which the sensor responds. Sensors for measuring a variety of physical conditions and / or chemical components are commercially available. For example, sensors for measuring temperature and humidity are available from various manufacturers, such as Digi ey, MCM Electronics, and Onset. Sensors for checking gas, smoke, particulate matter, specific chemicals (CO, CO2, radon, and the like) are also available from a variety of commercial sources. Other parameters can be measured and used with the systems and methods of the present invention, such as, for example, light, relative humidity (as is known in the art, relative humidity is a ratio of a quantity of water vapor actually present in the air for a greater amount possible at the same temperature), humidity (which includes water in a liquid state), voltage, distension, electrical resistance, electrical capacitance, orientation (direction), position (such as that detected by a global positioning system (GPS)), deformation, vibration, acceleration, Pressure, shock, movement, open / closed sensors, on / off sensors, and biosensors can be used with the systems and methods of the present invention. In one embodiment, the first sensor of the first metering unit 20a may comprise a temperature sensor and the third sensor may comprise a humidity / relative humidity sensor. The second sensor of one or more of the second measuring units 21a-d may comprise a temperature sensor. The first and third sensors can be arranged on a semiconductor chip. The chip can be a silicon chip, although other sensors known in the art can be used. For example, a commercial metal oxide semiconductor (CMOS) sensor available from Sensirion (Zurich, Switzerland) can be used. The CMOS sensors allow both temperature and humidity to be detected in the same material, which improves the relevance of the data. Such sensors can be addressed through a serial port through two cables (not shown). Alternatively, and / or additionally, an analogous sensor (which measures voltage changes), digital (on / off perception device), and other types of sensors may be used. Other illustrative sensors may comprise a plurality of conductive inks printed on a polyester or other similar material. The conductive inks can be printed in straight, curved or other suitable shapes and / or designs. One side of such a sensor may be an adhesive for mounting or joining a surface of interest, such as the first wall 12b, within the cavity 14, outside the cavity 14, or any component of the outer wall 12. When a liquid makes contact with this illustrative sensor, you can change a resistance / voltage through the conductive dye. Such a sensor is commercially available from Conductive Technologies; York, Pennsylvania. In one embodiment, the first sensor can be turned on by direct connection to an electrical circuit arranged within the building 11. Alternatively, the first sensor can be turned on by an alternate supply or direct power, such as a battery. For example, the first sensor can be powered by a standard AA battery. Alternatively, the battery may comprise a predetermined voltage range, such as a voltage range of 2.7 to 3.6 watts. In one embodiment, the voltage can range from 3 to 3.25 watts.

In an alternate mode, a long life battery can be used. For example, a lithium chloride battery (manufactured by Tadiran, Port Washington, New York) can be used. The lithium chloride battery can be the size of a typical AA battery. Or in one embodiment, the battery may be the size of a type C battery. By using the power source intermittently, and by allowing the system to remain asleep, the battery life may be extended. The use of a long-use battery may allow the first sensor to be placed in remote locations that may not have easy access to a power source. In one embodiment, the system 10 may comprise a first processor, such as remote processor 30, arranged in operational communication with each of the first measuring units 20a-f. In another embodiment, the remote processor 30 may be arranged in operative communication with the plurality of second measuring units 21a-d. The remote processor 30 may be adapted to receive the first, second and third signals and to control each of the first measuring units 20a-f and the second measuring units 21a-d. In one embodiment, the remote processor 30 may be in communication with the plurality of first measuring units 20a-f and the plurality of security measuring units 21a-d through a network 40. The network 40 shown may comprise the Internet. In other modes, other networks may be used, such as Intranet, Wide Area Network (WAN), or Local Area Network (LAN). The remote processor 30 may comprise a computer readable medium, such as a random access memory (RAM) (not shown) coupled to a processor (not shown). The processor can execute executable program instructions by computer stored in memory (not shown). Such processors may comprise a microprocessor, an ASIC, and machine machines. Such processors comprise, or may be in communication with, means, for example computer readable media, which store instructions which, when executed by the processor, cause the processor to perform the procedures described herein. Modes of computer readable media include, but are not limited to, an electronic, optical, magnetic, or other storage or transmission device capable of providing a processor, such as remote processor 30, with computer-readable instructions. Other examples of suitable means include, but are not limited to floppy disk, CD-ROM, DVD, magnetic disk, memory chip, ROM, RAM, an ASIC, a configured processor, all optical media, all magnetic tape or other magnetic media, or any other medium from which a computer processor can read instructions. Also, other forms of computer-readable media can transmit or carry instructions to a computer, which includes a router, private or public network, or other device or transmission channel, both wireless and wired. The instructions may comprise code of any suitable computer programming language, which includes, for example, C, C ++, C #, Visual Basic, Java, Python, and JavaScript. The remote processor 30 can be a personal computer), digital assistant, personal digital assistant, cell phone, mobile phone, smart phone, sorter, digital board, laptop, Internet application, and other processor-based devices. In general, the remote processor 30 can be any type of processor-based platform that is connected to the network 40 and interacts with one or more application programs. The remote processor 30 may be remotely disposed of the building 11 or the point or area of the data collection.

The remote processor 30 can operate in any operating system capable of supporting a browser or browser-enabled application, such as Microsoft® Windows® or Linux. The remote processor 30 includes, for example, personal computers running a browser application program such as Internet Explorer ™ from Microsoft Corporation, Netscape Navigator ™ from Netscape Communication Corporation, and Safari ™ from Apple Computer Inc. In one embodiment, the system 10 may comprise a second processor, such as local processor 50, arranged in operational communication with the plurality of first measurement units 20a-f, the plurality of second measurement units 21a-d, and remote processor 30. Local processor 50 may be a processor similar to that described above with respect to the remote processor 30. Alternatively, other suitable processors can be used for the local processor 50. The local processor 50 may be disposed within the building 11. For example, the local processor 50 may be arranged in the interior 13 of the building 11. Alternatively, the local processor 30 may be arranged outside the building 11, such as for example coupled with the exterior wall 12 of the building or arranged on the roof of the building 11. The local processor 50 can be in communication with the remote processor 30 through the network 40. Alternatively, the local processor 50 it may be coupled with the remote processor 30 using other suitable means.

In one embodiment, the local processor 50 may comprise an input, which may allow the data, eg, transmitted, to be sent to the remote processor 30. In one embodiment, there may be a plurality of local processors 50, each comprising its own processor that controls data acquisition control, data processing, and communicate the data to the remote processor 30. Alternatively and / or additionally, the local processor 50 may be directly connected to a desktop computer (not shown) through a serial port. In this way, the local processor data can be downloaded to the desktop computer. In another embodiment, the system 10 comprises a router 55a. There may be a plurality of routers 55a, 55b. The routers 55a, 55b may be arranged in the rear 13 of the building 11. For example, the routers 55a, 55b may be coupled with at least one of the plurality of interior walls 16. The routers 55a, 55b may be placed separately, such as in the floor board mold, in a closet, cabinet or back cabinet. The routers 55a, 55b may be placed where a power source is available. The routers 55a, 55b may be arranged in other suitable locations, generally out of the view of the observers, which include external to the building 11. The routers 55a, 55b, and the local processor 50 may comprise a network. In one embodiment, the plurality of first metering units 20a-f and the plurality of second metering units 21a-d may also comprise the network. The network may be adapted to facilitate communication between the measuring units 20, 21 (for example, sensors) and the remote processor 30. The network may take a variety of forms. In one embodiment, the network may comprise wireless communication between at least some of the components of the system 10. The signals transmitted from any measuring unit 20, 21, within the range of a particular router 55a, 55b may be collected and then transmitted by the router 55a, 55b to local processor 50. Local processor 30 may be coupled with a computer or modem line for transmission of signals to remote processor 30, which may be located in a separate location from building 11. Alternatively, the processor remote 30 may be located in the same building 11, but separate and apart from local processor 50, such as a floor or level different from building 11. Also in one embodiment, the network may comprise a self-organizing network, in which the network it facilitates that each sensor can communicate with the remote processor 30 in any possible way. The sensor may be configured to choose the most efficient way to communicate with the remote processor 30. The network may be arranged within the building 11. Alternatively, the portions of the network may be arranged external to the building 11, such as the plurality of seconds. measuring units 21a-d. The routers 55a, 55b can facilitate wireless communication between the plurality of first measuring units 20a-f and the local processor 50 and the plurality of second measuring units 21a-d and the local processor 50. The network can be organized to collect data of the plurality of first measuring units 20a-f and the plurality of second measuring units 21a-d and casting the information to one (or some) centralized location (s) for analysis, such as remote processor 30. The network may comprise the plurality of sensors arranged in the plurality of first measuring units 20a-f and the plurality of second measuring units 21a-d. As described above, the sensors may be adapted to measure one or more parameters of interest. The sensors can be incorporated into the network hardware such as to be in communication with, and transmit data to, the remote processor 30. In a mode, the network can comprise three unions. The first (lowest) junction may be the plurality of first metering units 20a-f and the plurality of second metering units 21a-d, wherein each of the plurality of first and second metering units 20a-f, 21a-d may comprise a sensor. The second network junction can comprise the plurality of routers 55a, 55b, which can be adapted to communicate wirelessly with the plurality of first and second measuring units 20a-f, 21a-dy to transmit the data upstream to at least one processor local (for example, entry) 50.

The local processor 50 may be in communication with the remote processor 30. Preferably, the number of the plurality of first measuring units 20a-f and the number of the plurality of security measuring units 21a-d may be greater than the number of routers 55a, 55b, which may be greater than the number of local processors 50. Also preferably, the number of local processors 50 may be equal to or greater than the number of remote processors 30. Thus, in one embodiment, the data is directed current above the plurality of first and second measuring units 20a-f, 21a-d to remote processor 30.

Each individual component of the previous network can communicate wirelessly. A wireless mode (e.g., a wireless mesh network) may be commercially available from, for example, Millennial Net; Cambridge, Massachusetts. As described above, the connection between the plurality of first and second measuring units 20a-f, 21a-d and the plurality of routers 55a, 55b can be wireless. For wireless communication, each of the plurality of first and second measuring units 20a-f, 21a-d may be within a certain distance of each of the plurality of routers 55a, 55b. For example, in one embodiment, each of the routers 55a, 55b must be within 9 meters of each of the plurality of first measuring units 20a-f. In some cases, the routers 55a, 55b should be closer to the plurality of first measuring units 20a-f, for example, where there are walls (eg, interior walls 16) or other barriers between the routers 55a, 55b and the plurality of first measuring units 20a-f. Thus, in one embodiment, the routers 55a, 55b can be placed where they are closer enough to receive signals from the plurality of first measuring units 20a-f. Also, routers 55a, 55b can be placed in an open area to promote signal reception, but not necessarily in flat view of individuals. In one embodiment, the routers 55a, 55b may comprise a printed circuit board, a means for receiving wireless transmissions, such as an antenna or the like, and a power source. The routers 55a, 55b may be placed in a position to receive signals from the plurality of first measuring units 20a-f. In one embodiment, each of the routers 55a, 55b can accept signals of up to five measuring units 20, 21. In another embodiment, each of the routers 55a, 55b can accept signals of up to 20 measuring units 20, 21. Even in In another embodiment, each of the routers 55a, 55b can accept signals of up to 100 measuring units 20, 21. The maximum number of measuring units 20, 21 that can be used in the system 10 can be a function of several variables including the number of total measuring units 20, 21 in the network, the density of information, as well as the distance between the components of the network.

For example, when using an 8-bit processor, the maximum number of measuring units 20, 21 can be calculated by subtracting the number of routers 55 and local processors 50 (eg, input) from 65025, which can be standard for a 8-bit processor particular. The number of measuring units 20, 21 can be determined by the type of processor (e.g., 8 bits, 12 bits, 16 bits). For example, the expansion of an 8-bit processor to a 16-bit processor can exponentially increase the number of measuring units. Additionally, the number of routers 55 is a function of the distance between the router 55 and the measuring units 20, 21 associated with the router 55. The number of local processors 50 (eg, input) can be a function of the distance between the local processor 50 and the routers 55 associated with the local processor 50. The routers 55a, 55b can be placed outside the flat view, but are generally placed in a location that is accessible for routine maintenance. In that way, while the routers 55a, 55b may be connected to an electrical circuit arranged in the building 11, the power source for the routers 55a, 55b may comprise batteries, or another suitable energy source, such as a solar cell. Although batteries can be selected for long lives, in one mode, standard AA batteries can be used. In one embodiment, the plurality of first measurement units 20a-f can be connected to local processor 50, which can allow data to be communicated to remote processor 30. In one embodiment, local processor 50 may comprise its own processor (not shown), which can control data acquisition, data processing, and send the data upstream to the remote processor 30. Alternatively and / or additionally, the local processor 50 can be directly connected to a desktop personal computer (PC) (not shown) to through a serial port (not shown). In this way, the data of the local processor 50 can be downloaded to the desktop computer. In one embodiment, the number of routers 55a, 55b can be a function of the distance between each of the routers 55a, 55b and the first and second measuring units 20a-f, 21a-d associated with each router 55a, 55b. The number of local processors 50 can be a function of the distance between a local processor 50 and the router 55a, 55b associated with the local processor 50. The local processor 50 can receive data of a finite number of first and second measuring units 20- f, 21a-d. In one embodiment, the local processor 50 can accommodate data of up to 50 measuring units 20, 21. In another embodiment, the local processor 50 can accommodate data of up to 100 measuring units 20, 21. Even in another embodiment, the local processor 50 can accommodate data above 250 measuring units 20, 21. Also in one embodiment, the local processor 50 can control data from a router 55a, 55b that is up to 30 meters away. In that way, an individual local processor 50 can control all of the measuring units 20, 21 for the entire building 11. The remote processor 30 can comprise a computer readable medium in which are coded instructions that can control various aspects of the system 10. For example, in one embodiment, the computer-readable medium can control the time intervals between data acquisition. Also the computer-readable medium periodically (such as substantially continuously) record data acquired by the system 10 and compare data with previously acquired data so that a change in conditions for at least one of the sites of interest can be achieved. Also, in one embodiment, a signal may be generated when the data of a particular sensor is out of range with values of other sensors, outside the range of a predetermined level, or within a percentage of a maximum set point. The system 10 is capable of verifying a plurality of sensors, and generating an alarm or warning signal when a situation that involves high risk or is directed towards a predetermined set point is occurring. For example, in one embodiment, the system 10 can generate an alarm signal when a sensor reads that it is out of line with similarly placed sensors. In one embodiment, the signal comprises an electronic transmission, an audible alarm, or a visual reading on a printer or monitor. For example, the alarm may comprise an email alert, an email with an attachment, a file transfer protocol (FTP), a text message communicated wirelessly to a device such as a mobile phone, sorter, or the like. Also, in one embodiment, the measurement units 20, 21 may include location as a parameter evaluated by the remote processor 30. Preferably, one of the parameters describing location comprises elevation, wherein the elevation comprises the relative direction of the sensor North (N), Northwest (NW), West (W) ), Southwest (SW), South (S), Southeast (SE), East (E), and Northeast (NE). In one embodiment, the sensor may comprise an altitude sensor that can measure pressure differentials such as the height of the sensor above sea level. In this way, the data of a sensor can be compared to sensors located in similar environments. Each sensor can be adapted to respond to the parameter of interest. Each sensor may be interfered with other portions of the system 10. In one embodiment, a printed circuit board (not shown) may be used to face each sensor with the system 10. The printed circuit board may comprise a processor comprising a medium computer readable that can be adapted to interpret the signals of the sensors and to transform the signals into a form that can be communicated by the system 10.

In one embodiment, the interface table may comprise a schotke diode (not shown). In addition to its usual function of preventing incorrect battery connection, the diode can be used to make the voltage across the battery compatible with the rest of the system 10. As described above, a lithium chloride battery (LiCI2) can be used ) for the first and second measuring units 20, 21 (including sensors) to provide a self-contained energy source that can last as long as ten years. In some cases, the voltage across the lithium chloride battery may be higher than that used for the sensor board. That way, the diode can be used to drop the voltage to a sensor that is compatible with the sensor. For example, in a system mode, a diode can be used to drop 0.3 watts from the lithium chloride battery used for the sensor table. The life time of the power unit for the first and second measuring units 20, 21 can be optimized by having the measuring units 20, 21"asleep" between measurements. Where the average sampling time is approximately 90 milliseconds or less, the measuring units 20, 21 can sleep for up to 80% of their use. For example, in one mode, the sleep time will be 82% of the interval time when it was set to the most frequent reading interval of 500 milliseconds. In a sampling interval of between once every 90 minutes, the percentage of sleep time would be 99.9% of the cycle time between readings. In one embodiment, the energy used by the sensor can be controlled separately from an end point (e.g. sensor of measuring units 20, 21) of system 10. As described above, the collected data of the plurality of first and second Second, measurement units 20a-f, 21a-d can be transmitted through routers 55a, 55b and local processor 50 (eg, input) to remote processor 30 for collection and analysis. The remote processor 30 may be remote to the local processor 50 and its associated network. The remote processor 30 may be arranged in operational communication with the local processor 50, the first and second verification units 20a-f, 21a-d, and routers 55a, 55b. The connection of the various components of the system 10 to the remote processor 30 may comprise a variety of technologies known in the art. For example, the system 10 and the remote processor 30 may be connected through a direct connection, such as broadband Internet connection or through a modem or through a wireless connection, such as cellular technology. The remote processor 30 may comprise a variety of functions. First, the remote processor 30 can be used to collect and organize data collected from the plurality of measuring units 20, 21. Thus, in one embodiment, the incoming data can be organized and presented in a variety of formats. The remote processor 30 may communicate data to an FTP server (not shown), from which the data may be stored in a database for future use, data management and predictable molding. The present invention describes a computer or software program designed to couple the sensors of the verification units 20, 21 and network hardware (eg, local processor 50 and routers 55a, 55b) as a coordinate system designed for remote site verification specific, such as windows 15a-e of building 11. As used herein, a computer program comprises a computer-coded language or a computer-readable medium that encodes the steps required for the computer to perform a specific task or tasks. Also, as used herein, the software comprises the computer program (s) used in conjunction with any other of the operating systems required for computer function. In a modality, the software of the present invention allows the user to control on each of the plurality of first and second verification units 20a-f, 21a-d. Thus, in contrast to the previously described systems, the present invention allows a user to remotely adjust the measurements taken from each of the plurality of first and second measuring units 20a-f, 21a-d. In one mode, the software can be used to change a sampling interval. For example, sampling can be changed from being taken every 500 milliseconds to once every 90 minutes. In another embodiment, the software can be programmed to independently control each of the plurality of first and second measuring units 20a-f, 21a-d. For example, it may be desirable to check a particular site more frequently than another site, such as for example where a particular window unit shows an indication of dragging out of range. The verification frequency can be dramatically adjusted by a remote user of the measuring units 20, 21, as well as remote from the building 11. In one embodiment, the sensor readings can be communicated to the remote processor 30, while being taken or just after that. Alternatively, the sensor readings may be periodically communicated to the remote processor 30. For example, the readings may be communicated to the remote processor 30 approximately every second at any interval greater than this. In that way, the sensor readings can be communicated to the remote processor 30 hourly, daily, monthly, annually or in another desired interval. In one mode, the system works automatically until there is some type of intervention from a system operator (ie, user). For example, the software can be programmed to take a reading every 1 minute of end point / sensors in location 1, and a reading every 3 minutes of end point / sensors in location 2, and a reading every 10 minutes of end point / sensors in location 3, except for a subset of location sensors 3, for which readings are taken every 20 seconds. If at any point, the number or type of readings needs to be adjusted, this can be done remotely by an operator through the central processing unit. In one mode, the program recognizes certain predetermined limits (for example, set points) and triggers an alarm if any sensor has a reading (or multiple readings) that are outside of or approaching a permitted range or set point. In this way, the system 10 can continuously record data from a sensor simultaneously and collect the data. If the reading is within a predetermined range, the system 10 will keep itself under the current settings. If there is a reading or several readings that are outside a permitted range or are directed towards a set point, an alarm signal can be communicated to an operator or another user. For example, the signal may comprise an audible alarm. Alternatively, the signal may comprise a digital print on a computer monitor or a computer screen. Or, the signal may comprise an electronic notification such as a text message sent via email, cell phone, or the like. There may be a variety of signals that eliminate an alarm, or alarm type signal. For example, in one embodiment, a particularly extreme temperature reading or humidity setting of a sensor may trigger an alarm.

Alternatively, an alarm can be triggered by a low battery level for a particular measurement unit 20, 21. The readings of the plurality of first measurement units 20a-f in similar environments (e.g., elevations) can be compared to determine a range of expected readings. Alternatively, the readings of all the first and second measuring units 2a-f, 21a-e are compared. The allowable range or set points can be adjusted or modified by an operator or another user (for example, through remote processor 30) as necessary. Also, an alarm can be triggered by an event that can be verified as a "on-off" situation. For example, in one mode, an alarm can be activated by opening or braking a window. Thus, in one embodiment, a sensor can be established to verify a closed or open contact condition. In the case of glass breakage, a sensor was established to record the noise generated by breaking glass, typically it could be set in the normally closed condition and the noise would cause the device to open the contact and activate the alarm. Once the alarm is activated, the data in the system can be accessed in any way that is necessary to perform a meaningful analysis. For example, for the case where low temperature reading is recorded, the data can be compared with the external reading of the same building and / or elevation.

This analysis can be used to determine if the aberrant reading is due to a loss of window integrity, or for other more global reasons (for example, such as a sudden change in temperature). The analysis can be controlled by the user, where the user can specify the data records to be exposed and the type of analysis that will be performed. Alternatively, and / or additionally, the analysis can be implemented by computer where a series of predetermined analytical steps are performed in response to a certain activation event. Referring now to Figure 2, there is shown a schematic showing the flow of information 100 through the system 10. As indicated by the connection lines, the flow of information through the system 10 is two-way. Additionally, such information flow can be by wireless means. The data of the measuring unit 110 (which may comprise sensor data with respect to a physical or chemical parameter) may be communicated to a router, such as routers 55a, 55b described above. Router data 120 can then be communicated to an entry. The data or signals transmitted or communicated to the routers and / or input may be stored, modified, or processed, such as signal amplification or modulation. The input data 130 can be communicated to a remote processor, such as the remote processor 30 described above, through the local processor, such as the local processor 50 described.

Alternatively, the input data 130 can be communicated directly (not shown) to the remote processor. The input can be connected in series to the local processor, and the local processor data 140 transmitted to the remote processor 30 via the Internet, modem, wirelessly or other means standard in the art for a computer or server at a remote location. The local processor data 140 may be presented or accessed by a user directly from the local processor. An operator or user can access data stored by the remote processor 30 (in a central or remote location of the remote processor) by entering instructions (including sampling intervals, alarm settings, types of sampling, and the like) through a keyboard 34, mouse 34a or other access means. These instructions can then be communicated through the network so that the sensors can be remotely controlled. The data may be stored by the remote processor 30 using a storage device common in the art such as disks, drives or memory 31. As understood in the art, a central processing unit 32 and an input / output controller ( l / O) 33 may be required for multiple aspects of the operation of the remote processor 30. Also, in one embodiment, there may be more than one processor. A user can access data in a variety of ways and the data can be viewed in a variety of formats. Different users may have different rights or access to information. For example, some users may have limited information on read-only rights, while others may have access to all information as well as controlling sensors (as described above.) In one embodiment, a user may access data directly from the remote processor 30. Alternatively , the remote processor 30 may communicate the data to a plurality of user terminals (not shown) .The data may be organized at several levels to facilitate analysis.For example, the data may be verified by sensor group.Alternatively and / or additionally, the data can be verified by azimuth sensor.Alternatively and / or additionally, the comparative data is verified.In one mode, at least one of all the inclusive files is maintained, which contain all the accumulated data of each sensor. can provide a file, which can be accessed at any time by information that may be required Go for a particular analysis. Also, a file can be maintained for all interior sensors. In such a way, different interiors can be compared with one another, independent of other variables. For example, data can be compared for all sensors in a particular region of the country. Alternatively, and / or additionally, the data can be compared for all the sensors in a building.

Also, individual endpoint files can be maintained, organized by unique sensor identifier. The profile for each individual sensor can be compared with itself over time, to look for directions indicative of a problem, or the profile can be compared to profiles of other sensors to detect any deviation from the ranges considered acceptable. In one modality, the data for a particular site can be accessed by a user through the Internet. A user can access particular data with a username and password. The data can be presented to a user in one or more formats. For example, as shown in Figure 3, data can be presented in an incomplete or unprocessed data format. The incomplete data may be presented to a user in a data box 150. The data may comprise several types of information in various fields in the data box 150. For example, the data box 150 may comprise a field dated 151, a time field 152, an identification field (ID) of measuring unit 153. Each measuring unit or sensor can be assigned with a unique identifier. Table 150 may also comprise a field of type 154, which may refer to the type of data or parameter (e.g., temperature, humidity, and / or relative humidity).; value of incomplete data, converted value). The frame 150 may comprise an elevation field 155, which refers to a physical location of the sensor. The frame 150 may comprise a sampling interval field 156, which may identify the sampling interval used for a particular sensor. Other fields of frame 150 may comprise a battery field 157 (which has battery voltage), a temperature field 158 (which has a reading of a temperature sensor), and a humidity field 159 (which has a reading of a humidity sensor). Other suitable fields can be used. Referring now to Figure 4, another format for presenting data is shown. Data can be presented in one or more line boxes 160a, b. The line boxes 160a, b may present information in various ways, such as, for example, sensor identifier 161a, sensor location 162a, b, time slot 163a, and sensor reading 164a, b. The line box 160a presents temperature data for various sensors 161a and their respective locations 162a. The user can modify which sensors 161a present in table 160a. The user may also select or modify the time interval 163a to be presented in table 160a. Line chart 160b presents humidity data corresponding to the temperature data presented in line chart 160a. The frames 160a, b may facilitate the identification by a user of data addresses that may not be evident from the observation of incomplete data, such as those described above with reference to Figure 3. Referring now to Figures 5 and 6, even another format to present data is shown. Figure 5 shows a graphic representation 170 of the data. The graphic representation 170 shows a representation of a building layer 171 (or façade) for a particular elevation. The data may be represented as a series of concentric circles or rings, as shown by data circles 172a-c. The data circles 172a-c may be superimposed on the construction layer 171. The data circles 172a-c may be placed in the construction layer 171 near the position of a particular sensor (not shown) and / or measuring unit (not shown). The sensor readings for different parameters can be observed in other views of the construction layer (not shown). Figure 6 shows a larger view of the data circle 172a. The data circle 172a comprises an inner circle 173a surrounded by a plurality of concentric rings 173b-d. The inner circle 173a and each of the rings 173b-d may correspond to a particular time that takes or records a sensor reading of one or more parameters. For example, circle 173a may represent a first reading in a first time. A second reading by the sensor in a second time can be indicated by the ring 173b. A third reading by the sensor in a third time may be indicated by the ring 173c, and so on. In one embodiment, a value of a parameter, such as temperature, may be associated with a size of the circle 173a and the rings 173b-d. For example, a size of the ring 173d is greater than a size of the ring 173b. The size of each of the rings 173b-d can be measured as a distance of an inner diameter and an outer diameter of each of the rings 173 b-d. The size of the circle 173a can be its diameter. In the example shown in Figure 6, the value of the temperature associated with the ring 173d would be greater than the value of the temperature associated with the ring 173b. A value of another parameter, such as humidity, associated with a particular coloration, shading, or pattern of the circle 173a and each of the rings 173b-d. In this way, the values for two parameters can be shown in the same graphical presentation. A coloration or shading can show a representative gradient of the condition being verified. For example, when moisture readings are presented, black represents approximately 0% moisture and white represents approximately 90-100% humidity. Ranges between 0% and 90-100% can be represented by different colors, or shades of colors, which includes grayscale. Grayscale is a color mode comprising a plurality of shades of gray. In one mode, the gray scale can comprise 256 colors, which include absolute black, absolute white, and 254 shades of gray between them. Grayscale images can have 8 bits of information in them. Other suitable geometric shapes, colors and gradient schemes can be used. Referring now to Figure 7, a method 180 according to one embodiment of the present invention is shown. Method 180 can be employed in a system, as described above. The items shown in Figures 1-6 can be referred to when describing Figure 7 to help understand the modality of method 180 shown and described. However, the methods according to the present invention are not limited to the modalities described above. As indicated by block 181, method 180 may comprise detecting a first parameter by a first sensor. The first sensor may be arranged in an interior of a structure, such as a building. The structure may comprise an outer wall comprising a first wall and a second wall. The first sensor can be arranged in a cavity defined by the first wall and the second wall. The first sensor may comprise a plurality of sensors. The first parameter may comprise a physical and / or chemical parameter. The first parameter may comprise at least one of temperature, humidity, relative humidity, humidity, tension, distension, position, deformation, vibration, acceleration, pressure and movement. Alternatively, other suitable parameters may be used. As indicated by block 182, method 180 may comprise generating a first signal associated with the first parameter by a first measuring unit. The first sensor can be arranged in communication with the first measuring unit. In one embodiment, method 180 may comprise providing a local processor in communication with the first measuring unit and a remote processor. The local processor can be adapted to communicate the first signal with the remote processor. The remote processor may be arranged in an interior of the structure. Alternatively, the local processor may be arranged close to the structure. The remote processor can be close to the structure or within the structure. Generally, the remote processor may be physically separate, remote, from the local processor. As indicated by block 183, method 180 may comprise communicating the first signal to the operable remote processor to control the first measuring unit. The remote processor may be arranged in communication with the first measuring unit. As indicated by block 184, method 180 may comprise detecting a second parameter by a second sensor. In one embodiment, the second parameter may comprise the physical parameter of the first parameter. Alternatively, the second parameter may be different than the physical parameter of the first parameter. The second sensor can be arranged in communication with the remote processor. The second sensor can be arranged near an exterior of the structure. In one embodiment, the sensor may be coupled with an exterior surface of the structure. As indicated by block 185, method 180 may comprise generating, by a second measuring unit, a signal associated with the second parameter. The second sensor may be arranged in communication with the second measuring unit. As indicated by block 186, method 180 may comprise communicating the second signal to the remote processor. The remote processor may be arranged in operative communication with the second measuring unit. In a modality, the local processor may be arranged in communication with the second measuring unit. The local processor may be adapted to communicate the second signal to the remote processor. As indicated by block 187, method 180 may comprise detecting a third parameter by a third sensor. The third sensor may be arranged in communication with the first measuring unit. In one embodiment, the third parameter may comprise a physical parameter different from the first parameter. The third parameter may comprise at least one of a temperature, humidity, relative humidity, humidity, tension, distension, position, deformation, vibration, acceleration, pressure and movement. As indicated by block 188, method 180 may comprise generating a third signal with the third parameter by the first measuring unit. As indicated by block 189, method 180 may comprise communicating the third signal to the remote processor. As indicated by block 191, method 180 may comprise registering a first value in a database. The first value may be associated with the first parameter. The first value may comprise a numerical value for the first parameter, such as moisture content, detected by the first sensor. As indicated by block 192, method 180 may comprise updating the database with a second value associated with the first parameter. The second value may comprise another numerical value for the first parameter recorded at a time subsequent to a time during which the first value was recorded. The second value can be the same or different from the first value. In one embodiment, the method 180 may comprise transmitting an event condition based at least in part on the first and second values associated with the first parameter. An event condition may be similar to that described above, such as mold growth in the structure or water damage to the structure or its components. The first and second values can be used in a predictable model to convey the event condition. In another embodiment, method 180 may comprise generating an alarm signal when the second value exceeds a predetermined set point. An alarm signal may be generated when the first and second values approach the set point within a predetermined amount, range, or percentage. Referring now to Figure 8, a method 200 according to one embodiment of the present invention is shown. Method 200 can be used to generate and / or present the graphic information shown in Figures 5-6, and as described above. The items shown in Figures 5-6 can be referred to when describing Figure 8 to help understand the modality of method 200 shown and described. However, the methods according to the present invention are not limited to the modalities described herein. As indicated by block 201, method 200 may comprise associating a first value of a first parameter measured by a first sensor in a first time with a first geometric shape comprising a first size. The first parameter may comprise a chemical or physical parameter, such as humidity. The first parameter may comprise a physical parameter comprising at least one of a temperature, humidity, relative humidity, humidity, tension, distension, position, deformation, vibration, acceleration, pressure, movement, electrical resistance, and electrical capacitance. Other suitable parameters can be used. As indicated by block 202, method 200 may comprise associating a second value of the first parameter measured by the first sensor in a second time with a second geometric shape comprising a second size. The first and second geometric shapes each may comprise a ring. In one embodiment, the second geometric shape may be different from the first geometric shape. For example, the first geometric shape may comprise a circle and the second geometric form may comprise a ring. The second geometric shape can circumscribe the first geometric shape. The first and second geometric shapes can be concentric with each other. The first size of the first geometric shape can represent a numerical value associated with the reading of the signal represented by the first sensor in the first time. The second size of the second geometric shape may represent a numerical value associated with the reading of the signal generated by the first sensor in the second time. For example, the first time may be the time of an initial reading, and the second time may be a reading subsequent to the initial reading. In one embodiment, a value of a temperature reading can be represented by a ring. A ring size may vary depending on the numerical value of the temperature. In one embodiment, the ring size can be measured as a width, or a difference between an outer diameter and an inner diameter of the ring. In the current example, a larger ring represents a higher temperature than a smaller ring. As indicated by block 203, method 200 may comprise presenting the first and second geometric shapes superimposed on a graphic representation of a structure. In one embodiment, a position of the first and second geometric shapes presented may correspond substantially to a position of the first sensor disposed in the structure. An illustrative presentation may be similar to that shown in Figure 5. Other suitable presentations may be used. In one embodiment, the method may comprise associating a first value of a second parameter measured by a second sensor in a first time with a first color. The first time of the second sensor reading corresponds substantially with the first time of the first sensor reading. The second parameter can be a different physical parameter than the first parameter. For example, the second parameter may comprise moisture. Different humidity readings may be associated with different colors. For example, the first sensor may indicate a humidity reading of 50% in the first time, which may be associated with an orange shade. In another embodiment, the method can comprise associating a second value of the second parameter measured by the second sensor in the second time with a second color. The second time of the second sensor reading corresponds substantially with the second time of the first sensor reading. The second sensor can indicate a humidity reading of 70% in the second time. The second value may be associated with a second color, such as yellow shadow. The values of the second parameter associated with a second color, such as a shadow of yellow. The values of the second parameter can be associated with other suitable colors, including gray scale. Alternatively, the values of the second parameter may be associated with patterns (such as that shown in Figure 6) and / or shading.

In one embodiment, the method 200 may comprise overlaying the first color in the first geometric shape presented in the graphic representation of the structure. In another embodiment, the method 200 may comprise superposing the second color in the second geometric shape presented in the graphic representation of the structure. Alternatively, the first and second patterns may be superimposed on the first and second geometric shapes, respectively. The data presented can be placed to correspond generally to a location of the sensors in the structure. In this way, two different parameters can be presented, for example, temperature and humidity in a graphic representation of a structure that is verified, and changes to these parameters can be observed (for example, temperature as a ring size and humidity as a color or pattern) in a different format than traditional charts and graphs. Such a presentation can be understood more easily and can facilitate analysis and / or identification of addresses in the verified parameters. A computer readable medium of a server device, processor, or other device or application comprises instructions, which when executed, cause the server device, application, processor, or other device or application to perform method 200. The server device , application of resource regulation, and the computer-readable medium may be similar to those described above. Alternatively, other suitable server devices, applications, computer readable media, processors, or other devices or applications may be used.

EXAMPLES The present invention can be better understood by reference to the following examples, which describe working modalities of the present invention. Example: Wireless Network for Verification of Temperature and Humidity A wireless network of Millenial Net (Cambridge, MA) was purchased. The supported topology that such a network uses includes a star bad topology, simple mesh topology, linear topology, and simple star network topology. The network of the present example comprises three levels: (1) endpoints; (2) routers; and (3) entries. A, Endpoint (iBean) An endpoint (also referred to here as an iBean or bean) provides a wireless capability to a device (such as a sensor) that can communicate with the endpoint through analog I / O and / or digital Each endpoint is set to allow it to fit inside an activator or sensor. For the system used in these examples, a second table that has a temperature / humidity sensor was attached to the iBean. The end point / sensor was turned on by a lithium chloride battery. When using an intermittent sampling program of the sensor / iBean software, the battery should have a life of up to 10 years. The endpoints are capable of running in several ISM radio bands (industrial, scientific, and medical) free of license available worldwide. Also an Application Programmer Interface (API) is available for user application adaptation to process any of the device data that receives the endpoint. The Bean end point includes 4 digital I / Os and 4 l / Os analogs for communication with a sensor. B. Router A router provides a greater range for wireless transmission of endpoints. Each router also provides alternate route trajectories for redundancy in obstacle obstruction, network congestion, or interference. As described here, a router can receive signals from endpoints placed within approximately 9 meters of the router. C. Input An input provides an interface to communicate with a personal computer or network. The communication can be through a hosting computer, through a LAN, or through the Internet. Each entry collects data from the network of routers and / or endpoints and acts as a portal. An input can handle signals of approximately up to 200 iBeans.

Example 2: Temperature / Humidity Sensors The Sensirion Humidity and Temperature Sensor SHT1x / SHT7x (Sensirion; Zurch, Switzerland) was connected in series to each iBean. Additionally, an analog sensor (which measures voltage changes), and a digital sensor (on / off perception device) can be used. The SHT7X / SHT1 sensor may require 4 signals: (1) a serial clock input; (2) an energy source input; (3) a land; and (4) one l / O data. The clock is used to synchronize the communication between the iBean and the sensor. Since only two l / Os of the Bean are required for implementation, four l / Os analogs and two digital l / Os in the iBean are still available for other uses. The sensor Sensirion SHTxx series are individual chip temperature and humidity multiple sensor modules comprising a calibrated digital output. The sensors comprise a polymer sensing element capable of verifying relative humidity and a band gap temperature sensor. Both are coupled to a 14-bit analog-to-digital (A / D) converter and a serial interface circuit on the same chip. The calibration coefficients for the sensors are programmed in the OTP memory (programmable one time). These coefficients are used internally during measurements to calibrate the signals from the sensors. SHTxx sensors require a voltage source between 2.4 and 5.5 watts. After switching on the device needs 11 milliseconds to reach its "sleep state". Once the sensor is turned on, and reached its sleep state, it is ready to be used. Example 3: The Sensor / iBean Interface An interface table can connect the sensor chip to the network. The interface table may be composed of a printed circuit board comprising at least one sensor, such as a pressure sensor (eg, 4INCH-DC-GRADE-MV, available from All Sensors of San Jose, California), a ultraviolet (UV) photodiode (e.g., Type PDU-S101, manufactured by Photonic Detectors, Inc.), and separate temperature sensors (e.g., TC 1046, manufactured by Microchip). A software program can convert incomplete sensor data to values for temperature and relative (or absolute) humidity. The actual software program depends on the sensor used. For example, Sensirion provides specific formulas for converting incomplete data (sensor output = SO) to humidity based on the number of bits (8 or 12) used to collect moisture data (RH | nea! = C1 + c2 * SORH + C3- (SORH) 2, where c ,, c2 and c3 vary with the number of bits collected for relative humidity), as well as formulas for converting incomplete data to temperature (T = d1 + d2 * SOt; where ú - and d2 vary with the bits collected for temperature). Millennial Net provides a similar set of formulas. It is assumed that the temperature uses 12 bits of information and humidity uses 8 bits. To compensate for non-alignment of moisture in the sensor, incomplete humidity data is converted using the following formula: Relative Humidity = (-) 4 + 0.648 - (incomplete data) + (-7.2) e ~ 4 * (incomplete data) 2. To convert the incomplete data to temperature, the following conversion is used: Temperature (° C) = (-J39.28 + 0.72 - (incomplete data) Other sensors can have similar conversion formulas The system works using both the formula Sensirion as the Millennial formula in conjunction with one another Example 4: iMon Software A browser-based verification software, such as iMon (commercially available from the developer, the Qnetworks, Inc.) facilitates verification, control, configuration, alarm, and notification The iMon software program controls each iBean sensor iBeans are also configured and accessed through the software application Mon. All sensor data received from iBean is interpreted and stored by iMon A. Registration Specification The collected data record is a component of the iMon software program that controls iBean sensors, each iBean is configured and accessed through the iMon software application. The sensor data received from the iBean is interpreted and stored by iMon. This example describes the functionality of the iMon registration component and resulting user interface changes. 1. User interface The iMon user interface can change in the following areas: log menu, logging configuration, Bean, log status bar indicator, and iMon configuration. Figure 9 shows a Graphical User Interface (GUI) and some of the panels that describe the system configuration. 2. Registration Menu From the selection of Menu Configuration 310, a user can enable, disable and configure an individual iBean registration configuration. The registry configuration dialog is shown in Figure 10. A record can be configured for record using this screen. For example, the GUI can be used to set all iBeans (or endpoints) to the current configuration (for example, group configuration). After can edit individual iBeans. 3. Record Interval In the present example, the record interval can be set to the following values: 1 second, 5 seconds, 15 seconds, 30 seconds, 1 minute, 5 minutes, 15 minutes, 30 minutes, 60 minutes, 90 minutes, or longer intervals if necessary. The record interval can be set in group, or individually for each bean. Fields can be registered in a format separated by standard comma. Additional registry parameter settings can be made using the iMon Configuration dialog. 4. Sensors The Sensirion sensor is a type in series with two available channels, one for temperature and one for smoked with construction property calculation capabilities to interpret incomplete data. For analogous sensors, incomplete or classified data can be selected. The selection of Classified Data 312 will result in the sensor data recorded (incomplete or classified) multiplying by the overlap with the aggregate equivalent. The classified data is the data used to adjust the differences in perception devices. 5. iMon Configuration Dialog A configuration dialog is used to configure the iMon program, which includes registration. The dialog box 320 for the iMon configuration is shown in Figure 11. The features used in the iMon Configuration dialog are described below. A Type Bean 321 combo box allows selection of the default bean type. Two types are supported in the present example: Normal and Sensirion. A 322 Classified Sensor Data table is available only for sensors of the Sensirion type, and allows a predetermined selection to request classified data from the sensor. In the present example there is no individual classified / incomplete selection for this type of sensor. If classified is selected, all sensors report classified data.

A Registration File 323 is the path and the name gives file for the log file that iMon creates. The files are in an ASCII format separated by commas. The navigation button 323a allows directory selection and file name. A Default Registration Interval 324 can be used when creating new beans in the iMon application. The intervals are as described here. An Auto Stay option 325 automatically boosts the registration system to start the program. In the present example, this option works only in conjunction with Auto Stay of API. The file names and logging interval must be set before the selection of this option or default characteristics is used. A Record Times option Integral 326 delays the first registration sequence until the registration time falls by one minute or hour limit. B. Alarm and Event Specification As well as the registration data, iMon also verifies each iBean data and revises it against predetermined levels. If the iBean data falls outside the predetermined limits, an alarm condition may arise. The functionality of the event, the iMon alarm components, and the resulting user interface changes are described below. 1. Alarms As used here, an alarm is a condition where a registered quantity exceeds a user-specified limit. Having an alarm based on a fixed absolute value can be a limited value. Instead, an alarm in the present example may be based on a comparison of an individual iBean reading for a group of similar iBeans. If the iBean reading is set to a limit based on a group average, the alarm condition will arise. iMon can identify each iBean with an elevation, position, or location. The Beans within each elevation can be compared with the average reading from one to another for alarm comparison purposes. Alarm conditions can be set globally for battery voltage, such as for a low level absolute value voltage. Each iBean can be reviewed against this limit. Each iBean battery voltage can be checked against the global alarm value. Alarm conditions can be set by iBean for iBean digital inputs. Alarms can be set for active high or low level. Alarm conditions can be set by elevation for A / D inputs. A high or low alarm can be set. The limit criteria can be an absolute limit or a percentage limit in relation to other beans in the elevation. A high or low alarm can be set for temperature and humidity. The limit criteria can be either an absolute limit or a percentage limit in relation to other iBeans in the elevation. 2. Alarm Detection As currently formatted, the alarm review occurs only in the record interval time sample. For example, a logging interval of 1 hour is assumed and alarms are enabled. If the measured quantity wanders outside the alarm limits for one hour, but is within the limits in the hour, no alarm condition will arise. 3. Alarm Algorithm Each bean (sensor) is identified as belonging to a specific elevation. The elevations can be North (N), Northwest (NW), West (W), Southwest (SW), South (S), Southeast (SE), East (E), and Northeast (NE). During each record interval, all iBean readings within an elevation can be averaged to obtain an average value. Each iBean reading within the given elevation after compares with the average reading. If the reading of iBean falls outside the preset limit for that reading, the alarm condition for that elevation arises. The elevation limit can be an absolute high or low value or a percentage value. Simultaneously, a high or low limit can be set. 4. Alarm Report When an alarm occurs, the alarm condition can be reported to an operator (for example, a Central Office). The reporting options include log alarms to the alarm log file and send an email to the central office.

Alarms can also be entered in the iMon System Registry. To avoid annoying reporting, alarms can be reported only once. The alarm conditions can be reset by user command or by a Clean Surveillance Alarm Event. The nature of alarm cleaning events are discussed below. As currently formatted, an Alarm file is created for all active elevations. The Elevation Alarm Files follow the following name convention: Prefix_Alarms of Elevation_Date_Time.dat, where: Prefix -specified in the PC Configuration dialog Alarm -text "Elevation Alarms" Date -MMDDYY when the time file -HHMMSS was created when it was created the file. A common alarm file as named above can contain all the elevation alarms for a given case of iMon. Alarms can also be entered in the iMon System Registry. The data fields in the file can be as follows: Date_Time, ID, Type, Elev, Samplnt (sec), Group, Location, Loglnt (sec), Battery, High Alarm Limit, Low Alarm Limit, Average of Elevation, Reading, and Number of Beans. 5. Digital Alarms At least one Alarm file was created for all active digital alarms. The Digital Alarm Files follow the following naming convention: Prefix_Dollar_Alarm_Date_Time.dat, where: Prefix -specified in the PC Configuration dialog Alarm -text "DigitalAlarms" Date -MMDDYY when the Time-HHMMSS file was created when the archive. A common alarm file as named above will contain all digital alarms for a given case of iMon. Alarms can also be entered in the iMon System Registry. The data fields in the file can be as follows: Date_Time, ID, Type, Elev, Samplnt (sec), Group, Location, Loglnt (sec), Battery, High Alarm, Low Alarm, and Digital Input Status. 6. Alarm User Interface The iMon user interface can be changed in the following areas: menus and configuration dialogs. Figure 12 shows the changes to the Menu User Interface. The menu of Alarms 330 supports an Auto Stay 331 option that will automatically boost the iMon Stay Alarm system. 7. Events and Event User Interface As shown in Figure 13, the user can enable, disable, and configure system events from the 332 Events menu selection. An "Event" is a programmable action that can be executed at some point in the future based on an event condition. In the present example, the following types of events are supported: Time Event. A time event performs an action at some periodic time of the week (TOW) or time of the month (TOM). TOW and TOM are programmable. The time event actions include the transfer of all the files in the registration directory to the central office server and archiving the registration directory. Clean Surveys Alarms. The selection of this option clears all the alarms that have arisen in a TOW and TOM database. The above description of the illustrative embodiments, which include preferred embodiments, of the invention are presented only for the purpose of illustration and description and are not intended to be exhaustive or to limit the invention to the precise forms described. Numerous modifications and adaptations thereof will be apparent to those skilled in the art without departing from the spirit and scope of the present invention.

Claims (58)

1. - A system comprising: a first measuring unit disposed within a structure, the first measuring unit comprises a first sensor adapted to detect a first parameter, the first measuring unit adapted to produce a first signal associated with the first parameter; a first processor arranged in operational communication with the first measuring unit, the first processor adapted to receive the first signal and to control the first measuring unit; and a second processor disposed within the structure, the second processor arranged in operational communication with the first measuring unit and the first processor.

2. The system according to claim 1, wherein the first processor is remotely disposed of the first measuring unit and the second processor.

3. The system according to claim 2, wherein the second processor comprises an input adapted to transmit the first signal to the first processor.

4. The system according to claim 2, further comprising a second measuring unit arranged close to an exterior of the structure and in operational communication with the first processor, the second measuring unit comprising a second sensor adapted to detect a second parameter, the second measuring unit adapted to produce a second signal associated with the second processor.

5. The system according to claim 4, wherein the first processor is adapted to receive the second signal from the second measuring unit and to control the second measuring unit.

6. The system according to claim 4, wherein the second measuring unit is coupled with an outer surface of the structure.

7. The system according to claim 1, wherein the structure comprises an outer wall comprising a first wall and a second wall.

8. The system according to claim 7, wherein the first sensor is arranged in a cavity of the outer wall, the cavity defined by the first wall and the second wall.

9. The system according to claim 7, wherein the first sensor is arranged in communication with a window arranged in the outer wall.

10. The system according to claim 7, wherein the first sensor is arranged in communication with a door coupled with the outer wall.

11. The system according to claim 4, wherein the first measuring unit further comprises a third sensor adapted to detect a third parameter, the first measuring unit adapted to produce a third signal associated with the third parameter.

12. The system according to claim 11, wherein the first parameter comprises a physical parameter comprising at least one of a temperature, humidity, relative humidity, humidity, tension, distension, position, deformation, vibration, acceleration, pressure , movement, electrical resistance, and electrical capacitance.

13. The system according to claim 12, wherein the second parameter comprises the physical parameter of the first parameter.

14. The system according to claim 12, wherein the third parameter comprises a physical parameter different from the first parameter, the third parameter comprises at least one of a temperature, humidity, relative humidity, humidity, tension, distension, position, deformation, vibration, acceleration, pressure, movement, electrical resistance, and electrical capacitance.

15. A system comprising: a plurality of first measuring units disposed within a building, each of the plurality of first measuring units comprises a first sensor adapted to detect a first parameter, each of the plurality of first measuring units adapted to produce a first signal associated with the first parameter; a wireless network arranged in communication with the plurality of first measuring units; and a remote processor arranged in communication with the wireless network, the remote processor adapted to receive the first signal from the wireless network and to control the plurality of the first measuring units.

16. The system according to claim 15, wherein the wireless network comprises a router and a local processor comprising an input.

17. The system according to claim 16, wherein the wireless network is substantially disposed within the building.

18. The system according to claim 16, further comprising a second measuring unit arranged in communication with an exterior of a building and in communication with the remote processor, the second measuring unit comprising a second sensor adapted to detect a second parameter, the second measuring unit adapted to produce a second signal associated with the second parameter.

19. The system according to claim 18, wherein the remote processor is adapted to receive the second signal from the second measuring unit and to control the second measuring unit.

20. The system according to claim 15, wherein the building comprises an exterior wall comprising a first wall and a second wall.

21. - The system according to claim 20, wherein at least one of the plurality of first measuring units is arranged in communication with the outer wall.

22. The system according to claim 20, wherein at least one of the plurality of first measuring units is arranged in a cavity of the outer wall, the cavity defined by the first wall and the second wall.

23. The system according to claim 20, wherein at least one of the plurality of first measuring units is coupled with a window arranged in the outer wall.

24. The system according to claim 20, wherein at least one of the plurality of first measuring units is coupled with a door arranged in the outer wall.

25. The system according to claim 18, wherein at least one of the plurality of first measuring units comprises a third sensor adapted to detect a third parameter, at least a first measuring unit adapted to produce a third signal associated with the third parameter.

26. The system according to claim 25, wherein the first parameter comprises a physical parameter comprising at least one of a temperature, humidity, relative humidity, humidity, tension, distension, position, deformation, vibration, acceleration, pressure , movement, electrical resistance, and electrical capacitance.

27. The system according to claim 26, wherein the second parameter comprises the physical parameter of the first parameter.

28. The system according to claim 26, wherein the third parameter comprises a physical parameter different from the first parameter, the third parameter comprises at least one of a temperature, humidity, relative humidity, humidity, tension, distension, position, deformation, vibration, acceleration, pressure, movement, electrical resistance, and electrical capacitance.

29. A method comprising: detecting by a first sensor a first parameter, the first sensor arranged in an interior of a structure; generating, by a first measuring unit, a first signal associated with the first parameter, the first sensor arranged in operative communication with the first measuring unit; and communicating the first signal to a remote operable processor for controlling the first measuring unit, the remote processor arranged in operational communication with the first measuring unit.

30. The method according to claim 29, further comprising providing a local processor in operational communication with the first measuring unit and the remote processor, wherein the remote processor is adapted to communicate the first signal to the remote processor.

31. The method according to claim 29, wherein the local processor is arranged inside the structure.

32. - The method according to claim 30, further comprising: detecting by a second sensor a second parameter, the second sensor arranged in operative communication with the remote processor; generating by a second measuring unit, a second signal associated with the second parameter, the second sensor arranged in communication with the second measuring unit; and communicating the second signal to the remote processor, the remote processor arranged in operational communication with the second measuring unit.

33. The method according to claim 32, wherein the local processor is arranged in operational communication with the second measuring unit, the local processor adapted to communicate the second signal to the remote processor.

34. The method according to claim 32, wherein the second sensor is arranged close to an exterior of the structure. 35.- The method according to claim 34, wherein the second sensor is coupled with an outer surface of the structure. 36. The method according to claim 32, further comprising: detecting by a third sensor a third parameter, the third sensor arranged in communication with the first measuring unit; generating, by the first measuring unit, a third signal associated with the third parameter; and communicate the third signal to the remote processor. 37.- The method according to claim 36, wherein the first parameter comprises a physical parameter comprising at least one of a temperature, humidity, relative humidity, humidity, tension, distension, position, deformation, vibration, acceleration, pressure , movement, electrical resistance, and electrical capacitance. 38.- The method according to claim 37, wherein the second parameter comprises the physical parameter of the first parameter. 39.- The method according to claim 37, wherein the third parameter comprises a physical parameter different from the first parameter, the third parameter comprises at least one of a temperature, humidity, relative humidity, humidity, tension, distension, position, deformation, vibration, acceleration, pressure, movement, electrical resistance, and electrical capacitance. 40.- The method according to claim 29, wherein the structure comprises an outer wall comprising a first wall and a second wall. 41.- The method according to claim 40, wherein the first sensor is arranged in a cavity of the outer wall, the cavity defined by the first wall and the second wall. 42. The method according to claim 29, further comprising: registering a first value in a database, the first value associated with the first parameter; update the database with a second value associated with the first parameter; and transmitting an event condition based at least in part on the first and second values associated with the first parameter. 43. The method according to claim 42, further comprising generating an alarm signal when the second value exceeds a predetermined set point. 44.- A method comprising: associating a first value of a first parameter measured by a first sensor-in a first time with a first geometric shape comprising a first size; associating a second value of the first parameter measured by the first sensor in a second time with a second geometric shape comprising a second size; and presenting the first and second geometric shapes superimposed on a graphic representation of a structure, wherein a position of the first and second geometric shapes presented corresponds substantially to a position of the first sensor arranged in the structure. 45. The method according to claim 44, further comprising: associating a first value of a second parameter measured by a second sensor in a first time with a first color; associating a second value of the second parameter measured by the second sensor in a second time with a second color; superimpose the first color in the first geometric shape presented in the graphic representation of the structure; and superimpose the second color in the second geometric shape presented in the graphic representation of the structure. 46.- The method according to claim 45, wherein the first parameter comprises a physical parameter comprising at least one of a temperature, humidity, relative humidity, humidity, tension, distension, position, deformation, vibration, acceleration, pressure , movement, electrical resistance, and electrical capacitance. 47. The method according to claim 46, wherein the second parameter comprises a physical parameter different from the first parameter. 48. The method according to claim 44, further comprising: associating a first value of a second parameter measured by a second sensor in a first time with a first pattern; associating a second value of the second parameter measured by the second sensor in a second time with a second pattern; superimpose the first pattern in the first geometric shape presented in the graphic representation of the structure; and superimpose the second pattern in the second geometric shape presented in the graphic representation of the structure. 49.- The method according to claim 48, wherein the first parameter comprises a physical parameter comprising at least one of a temperature, humidity, relative humidity, humidity, tension, distension, position, deformation, vibration, acceleration, pressure, movement, electrical resistance, and electrical capacitance. 50.- The method according to claim 49, wherein the second parameter comprises a physical parameter different from the first parameter. 51.- The method according to claim 44, wherein the first geometric form comprises a circle and the second geometric form comprises a ring. 52. The method according to claim 44, wherein the second geometric shape presented circumscribes the first geometric shape presented. 53. The method according to claim 52, wherein the second geometrical form presented and the first geometrical form presented are concentric with each other. 54.- A computer readable medium in which the program code is encoded, the program code comprises: program code for associating a first value of a first parameter measured by a first sensor in a first time with a first geometric shape comprising a first size; program code for associating a second value of the first parameter measured by the first sensor in a second time with a second geometric shape comprising a second size; and program code for presenting the first and second geometric shapes superimposed on a graphic representation of a structure, a position of the first and second geometric shapes that correspond substantially to a position of the first sensor arranged in the structure. The computer-readable medium according to claim 54, further comprising: program code for associating a first value of a second parameter measured by a second sensor in the first time with a first color; program code for associating a second value of a second parameter measured by a second sensor in the second time with a second color; program code to superimpose the first color in the first geometric shape presented in the graphic representation of the structure; and program code to superimpose the second color in the second geometric shape presented in the graphic representation of the structure. 56.- The computer readable medium according to claim 54, further comprising: program code for associating a first value of a second parameter measured by a second sensor in the first time with a first pattern; program code for associating a second value of a second parameter measured by a second sensor in the second time with a second pattern; program code to superpose the first pattern in the first geometric shape presented in the graphic representation of the structure; and program code to superimpose the second pattern in the second geometric form presented in the graphic representation of the structure. 57.- The computer readable medium according to claim 54, further comprising a program code to present the second geometric shape circumscribing the first geometric shape. 58.- The computer-readable medium according to claim 57, further comprising a program code for presenting the first and second concentric geometric shapes with each other.